Dubai Data Manual Adds AI-Ready Rules Without Entity Rollout Dates
Dubai updated its Data Manual for AI-ready public-sector governance, while entity-level rollout dates, penalties, budgets, maturity scores and measured service improvements remain outside the public record.
Dubai Data Manual Sets AI-Ready Rules For Government Entities
Digital Dubai has updated its Data Manual to make public-sector data more usable for artificial intelligence, shared services and digital decision-making.
The Dubai Data and Statistics Establishment described the document as a framework for how public entities govern, manage, share and use data under the Dubai Data Law, while adoption deadlines and enforcement timing remain outside the public record.
The document is aimed at the operating layer behind the city's digital government services.
It covers data quality, governance, roles and responsibilities, and compliance requirements.
It also combines mandatory standards with practical guidance, giving government entities a common structure for data management rather than leaving each department to apply separate practices.
Younus Al Nasser, Chief Executive of the Dubai Data and Statistics Establishment, said the updated manual is intended to advance government-wide readiness for AI.
He described the city's shift as moving beyond the digitalisation of individual services toward intelligent urban experiences supported by trusted, consistent and structured data.
Mandatory Standards And Self-Assessment Checklists Are Included
The new edition introduces clearer compliance requirements through mandatory data standards and self-assessment checklists.
The manual also sets out a unified structure for organisational units, a comprehensive data framework and guidance designed to standardise concepts, methods and implementation across government entities.
Because the source is an official announcement, the public evidence is limited to the agency's description of the manual and its stated objectives.
The manual is described as aligned with internationally recognised data-management practices while being tailored to Dubai's requirements.
It also expands the scope of AI readiness so that data is governed and structured for advanced analytics and AI applications.
The framework treats data quality as an implementation requirement for public-sector services rather than only as a technology strategy.
The agency said high-quality, governed data can support better decision-making, service delivery, innovation and AI use cases.
The manual is therefore positioned as a tool for public entities that need consistent data before they can build more automated or AI-assisted services.
The announcement also described a shift from fragmented practices toward a unified, sustainable and scalable approach across the Government of Dubai.
The manual gives entities a shared set of expectations for quality controls, governance ownership, compliance work and implementation tools.
The announcement frames reliable data inputs as a prerequisite for AI systems, but it does not treat the manual as proof that new AI services have already been deployed.
Digital Dubai Publishes The Manual On Data.Dubai Knowledge Hub
The updated manual is available in Arabic and English through the Knowledge Hub on the Data.
Dubai platform.
The document can therefore serve as a reference point for entities implementing the city's data standards, although the announcement did not describe a public dashboard for measuring adoption.
The manual also supports the emirate's broader digital strategy, which focuses on integrated city-wide digital experiences, product-based operating models, demand-driven data ecosystems, stronger compliance with the Dubai Data Law and growth of the digital economy.
Which entities must complete the new self-assessments first remain outside the public record.
Penalties for non-compliance, a phased rollout schedule, budget allocations, entity-level maturity scores and measured service improvements remain outside the public record.
